> Markdown version of [/jobs/ext/1234225-senior-data-quality-observability-engineer-snowflake](https://www.wearedevelopers.com/jobs/ext/1234225-senior-data-quality-observability-engineer-snowflake). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Quality & Observability Engineer (Snowflake) - **Company:** ALLOCATE LLC - **Location:** Palo Alto, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $165,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Engineering, Data Governance, Data Infrastructure, Data Profiling, Cursor (Graphical User Interface Elements), DataOps, SQL Databases, Datadog, Snowflake, Git, Software Version Control - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4f6990646676a8f3 ## About the Role * 5+ years in data engineering, analytics engineering, or data quality, with deep SQL and hands-on Snowflake. * Experience with data quality or observability tooling (e.g., dbt tests, Great Expectations, Soda, or Monte Carlo). * Hands-on data profiling and experience defining quality rules, metrics, and SLAs. * Strong analytical skills and the ability to partner with business stakeholders. * Proficiency with Git and version control systems. * Hands-on experience with AI-assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to incorporate new tools as they emerge. Nice to Haves * dbt and modern ELT / orchestration tooling. * Data governance, cataloging, or lineage tools. * Background in fund, asset-management, or other financial data., * Bachelor's degree in a technical or quantitative field, or equivalent practical experience. ## Description Allocate is looking to add a Senior Data Quality & Observability Engineer to the Data Operations team! There's a lot for us to build, and we need a strong engineer with a broad skillset who can jump right in to help us lay the technical foundation for the company's future., * Build and own data quality and observability across our data platform. * Profile data, define quality rules, and catch issues early. * Establish quality metrics, monitoring, and alerting, and track quality SLAs. * Investigate and resolve data issues at their source. * Partner with data engineering and business stakeholders on quality standards and reporting., * Providing our clients with a world-class experience is our number one priority. We obsessively search for ways to improve the experience for our clients and partners-extraordinary response times, proactivity, and a top-tier experience in everything from product strategy to offline communications. * Challenge convention: Instead of detailing all the reasons an idea may not work, we question things to determine how a viable idea may be put into motion. * Commitment to continuous improvement: We find ways to personally scale each day by pushing ourselves up the learning curve. * Meritocracy, not politics: We place the utmost value on results and reward through merit, not political agendas. * Civil Discourse is embraced: Open, intellectually curious conversations are required to consistently arrive at the best decisions. Respect is paramount, but the mission is to get the right answer collectively, not to be right. * Embrace technological change: We adopt tools and techniques that make us faster, smarter, and better-especially around AI and automation-and drop outdated methods without hesitation. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)